Remote Sensing,
Год журнала:
2024,
Номер
16(2), С. 263 - 263
Опубликована: Янв. 9, 2024
Accurately
estimating
building
heights
is
crucial
for
various
applications,
including
urban
planning,
climate
studies,
population
estimation,
and
environmental
assessment.
However,
this
remains
a
challenging
task,
particularly
large
areas.
Satellite-based
Light
Detection
Ranging
(LiDAR)
has
shown
promise,
but
it
often
faces
difficulties
in
distinguishing
photons
from
other
ground
objects.
To
address
challenge,
we
propose
novel
method
that
incorporates
footprints,
relative
positions
of
photons,
self-adaptive
buffer
photon
selection.
We
employ
the
Ice,
Cloud,
Land
Elevation
Satellite
2
(ICESat-2)
photon-counting
LiDAR,
specifically
ICESat-2/ATL03
data,
along
with
footprints
obtained
New
York
City
(NYC)
Open
Data
platform.
The
proposed
approach
was
applied
to
estimate
17,399
buildings
NYC,
results
showed
strong
consistency
reference
heights.
root
mean
square
error
(RMSE)
8.1
m,
71%
buildings,
absolute
(MAE)
less
than
3
m.
Furthermore,
conducted
an
extensive
evaluation
thoroughly
investigated
influence
terrain,
region,
height,
density,
parameter
also
verified
effectiveness
our
experimental
area
Beijing
compared
existing
methods.
By
leveraging
ICESat-2
LiDAR
advanced
selection
techniques,
demonstrates
potential
accurately
over
broad
The Innovation Geoscience,
Год журнала:
2024,
Номер
2(2), С. 100069 - 100069
Опубликована: Янв. 1, 2024
<p>Living
spaces
are
a
crucial
component
of
communities
and
social
interactions,
whereas
the
vertical
structure
buildings
in
these
spaces,
particularly
at
large-scale,
has
received
limited
attention
yet.
Here,
we
produced
detailed
height
map
each
building
conterminous
United
States
(US)
circa
2020.
Leveraging
multi-source
satellite
observations
footprint
data,
our
study
aimed
to
shed
light
on
spatial
variations
heights
their
implications
measure
inequality
living
spaces.
Our
results
revealed
significant
variation
heights,
with
downtown
areas
exhibiting
an
average
12.4m,
more
than
double
suburban
5.4m.
Moreover,
highlighted
urban-rural
gap
urban
regions
offering
compared
rural
areas.
This
contributes
growing
body
knowledge
planning
lays
foundation
for
future
investigations
improving
conditions
fostering
sustainable
communities.</p>
International Journal of Applied Earth Observation and Geoinformation,
Год журнала:
2024,
Номер
130, С. 103870 - 103870
Опубликована: Май 15, 2024
Although
the
photon
point
cloud
data
acquired
from
ICESat-2/ATLAS
can
be
efficiently
employed
in
urban
building
height
extraction,
its
universal
applicability
undulating
terrain
scenarios
is
constrained,
and
there
are
noticeable
issues
of
false
positives
negatives.
This
research
establishes
a
terrain-adaptive
methodological
framework
based
on
to
extract
high-precision,
high-density
across
varied
topographical
conditions.
First,
elevation
buffer
utilized
coarse
denoise
cloud,
involving
removal
majority
noise
photons
scene,
thereby
enhancing
efficiency
subsequent
algorithms.
Second,
signal
extracted
remaining
original
using
Adaptive
Method
Based
Single-Photon
Spatial
Distribution
(SPSD-AM).
approach
demonstrates
high
universality
various
scenes,
while
simultaneously
ensuring
stable
accuracy
extraction.
Subsequently,
ground
fit
curve
Differences
Urban
Signal
Photons
(USPSD-AM),
which
addresses
challenge
potential
mixing
complex
scenarios.
A
precise
then
photons.
In
order
mitigate
such
as
negatives,
post-processing
steps,
including
completion
denoising
photons,
implemented.
Finally,
adopted
accurate
parameters.
The
precision
verification
results
show
that
heights
considerably
consistent
with
reference
heights.
mean
RMSE
MAE
0.273
m
0.202
for
flat
terrains
1.168
0.759
terrains,
respectively.
proposed
method
superior
diverse
scenarios,
providing
robust
theoretical
foundation
large-scale
retrieval
efforts.
Remote Sensing,
Год журнала:
2024,
Номер
16(1), С. 190 - 190
Опубликована: Янв. 2, 2024
Because
of
the
complex
structure
and
different
shapes
building
contours,
uneven
density
distribution
airborne
LiDAR
point
clouds,
occlusion,
existing
contour
extraction
algorithms
are
subject
to
such
problems
as
poor
robustness,
difficulty
with
setting
parameters,
low
efficiency.
To
solve
these
problems,
a
algorithm
based
on
multidirectional
bands
was
proposed
in
this
study.
Firstly,
clouds
were
divided
into
same
width
one
direction,
points
within
each
band
vertically
projected
central
axis
band,
two
projection
farthest
distance
determined,
their
corresponding
original
regarded
roof
points;
given
that
obtained
single-direction
sparse
discontinuous,
banding
directions
selected
repeat
above
marking
process,
extracted
from
integrated
initial
points.
Then,
sorted
connected
according
principle
joining
nearest
forward
edges
lengths
greater
than
threshold
recognized
long
edges,
which
remained
be
further
densified.
Finally,
edge
densified
by
selecting
noninitial
closest
midpoint
edge,
densification
process
repeated
for
updated
edge.
In
end,
line
complete
details
topological
relationships
obtained.
study,
three
cloud
datasets
representative
roofs
chosen
experiments.
The
results
show
can
extract
high-quality
outer
contours
various
boundary
structures,
accompanied
strong
robustness
differing
change.
Moreover,
is
characterized
easily
parameters
high
efficiency
extracting
contours.
Specific
experimental
data
PoLiS
values
always
smaller
0.2
m,
RAE
7%.
Hence,
provide
high-precision
information
buildings
applications
3D
model
reconstruction.
Abstract
Understanding
building
morphology
is
crucial
for
accurately
simulating
interactions
between
urban
structures
and
hydroclimate
dynamics.
Despite
significant
efforts
to
generate
detailed
global
datasets,
there
a
lack
of
practical
solutions
using
publicly
accessible
resources.
In
this
work,
we
present
GLAMOUR,
dataset
derived
from
open-source
Sentinel
imagery
that
captures
the
average
height
footprint
at
resolution
0.0009
°
across
urbanized
areas
worldwide.
Validated
in
18
cities,
GLAMOUR
exhibits
superior
accuracy
with
median
root
mean
square
errors
7.5
m
0.14
estimations,
indicating
better
overall
performance
against
existing
published
datasets.
The
provides
essential
morphological
information
3D
can
be
integrated
other
datasets
tools
wide
range
applications
including
model
generation
morphometric
parameter
derivation.
These
extended
enable
refined
simulation
hazard
assessment
on
broader
scale
offer
valuable
insights
researchers
policymakers
sustainable
resilient
environments
prepared
future
climate
adaptation.
